As listed in Table REF , the synthetic LF datasets from HCInew [1]} and HCIold [2]}, and real-world LF datasets from EPFL [3]}, INRIA [4]}, STFgantry [5]} were used in experiments. Specifically, 144 LF images including 30 synthetic images and 114 real-world images were used for training, and 23 LF images containing 6 synthetic scenes and 17 real-world scenes were used for test. To be specific, different datasets contain different scenes with various disparity range, ensuring the diversity of datasets. All LFs in these datasets were processed with angular resolutions of \(5\times 5\)  and \(9\times 9\) . Each SAI was cropped into patches of size \(64\times 64\)  with a stride of 32. These patches were spatially \(\times 2\)  and \(\times 4\)  downsampled using the bicubic interpolation approach to generate input LR patches. Further, these patches were randomly flipped and 90-degree rotated along spatial and angular directions simultaneously for data augmentation [6]}.
